Abstract The paper deals with the adaptation and application of the data compression algorithms to reactor core multiphysics analysis. Large capacity makes the storage, transfer and processing of multiphysics data cumbersome and expensive. The general purpose lossy compression methods are not able to guarantee the accuracy of compressed information with respect to the uniform norm which is important for nuclear reactor safety analysis. Therefore we developed another algorithm that reduces the data capacity in up to two folds and at the same time preserves the peak fluctuations of multiphysics parameters. The new method decomposes multiphysics data into strong and weak correlation parts. The strong correlation part is approximated by the principal components, while the weak correlation part is saved in memory using a sparse matrix format. The compression ratio of this approach has been tested to the series of the rod ejected accidents in reactor core OPR-1000 at the different fuel burnups.

中文翻译：

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反应堆堆芯瞬态多物理场仿真的PCA压缩方法

摘要 本文讨论了数据压缩算法在反应堆堆芯多物理场分析中的适应性和应用。大容量使得多物理场数据的存储、传输和处理既麻烦又昂贵。通用有损压缩方法无法保证压缩信息相对于统一规范的准确性，这对于核反应堆安全分析很重要。因此，我们开发了另一种算法，可将数据容量减少多达两倍，同时保留多物理场参数的峰值波动。新方法将多物理场数据分解为强相关和弱相关部分。强相关部分由主成分近似，而弱相关部分使用稀疏矩阵格式保存在内存中。